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Dissection of soybean populations according to selection signatures based on whole-genome sequences

BACKGROUND: Domestication and improvement processes, accompanied by selections and adaptations, have generated genome-wide divergence and stratification in soybean populations. Simultaneously, soybean populations, which comprise diverse subpopulations, have developed their own adaptive characteristi...

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Autores principales: Kim, Jae-Yoon, Jeong, Seongmun, Kim, Kyoung Hyoun, Lim, Won-Jun, Lee, Ho-Yeon, Jeong, Namhee, Moon, Jung-Kyung, Kim, Namshin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927394/
https://www.ncbi.nlm.nih.gov/pubmed/31869408
http://dx.doi.org/10.1093/gigascience/giz151
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author Kim, Jae-Yoon
Jeong, Seongmun
Kim, Kyoung Hyoun
Lim, Won-Jun
Lee, Ho-Yeon
Jeong, Namhee
Moon, Jung-Kyung
Kim, Namshin
author_facet Kim, Jae-Yoon
Jeong, Seongmun
Kim, Kyoung Hyoun
Lim, Won-Jun
Lee, Ho-Yeon
Jeong, Namhee
Moon, Jung-Kyung
Kim, Namshin
author_sort Kim, Jae-Yoon
collection PubMed
description BACKGROUND: Domestication and improvement processes, accompanied by selections and adaptations, have generated genome-wide divergence and stratification in soybean populations. Simultaneously, soybean populations, which comprise diverse subpopulations, have developed their own adaptive characteristics enhancing fitness, resistance, agronomic traits, and morphological features. The genetic traits underlying these characteristics play a fundamental role in improving other soybean populations. RESULTS: This study focused on identifying the selection signatures and adaptive characteristics in soybean populations. A core set of 245 accessions (112 wild-type, 79 landrace, and 54 improvement soybeans) selected from 4,234 soybean accessions was re-sequenced. Their genomic architectures were examined according to the domestication and improvement, and accessions were then classified into 3 wild-type, 2 landrace, and 2 improvement subgroups based on various population analyses. Selection and gene set enrichment analyses revealed that the landrace subgroups have selection signals for soybean-cyst nematode HG type 0 and seed development with germination, and that the improvement subgroups have selection signals for plant development with viability and seed development with embryo development, respectively. The adaptive characteristic for soybean-cyst nematode was partially underpinned by multiple resistance accessions, and the characteristics related to seed development were supported by our phenotypic findings for seed weights. Furthermore, their adaptive characteristics were also confirmed as genome-based evidence, and unique genomic regions that exhibit distinct selection and selective sweep patterns were revealed for 13 candidate genes. CONCLUSIONS: Although our findings require further biological validation, they provide valuable information about soybean breeding strategies and present new options for breeders seeking donor lines to improve soybean populations.
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spelling pubmed-69273942019-12-27 Dissection of soybean populations according to selection signatures based on whole-genome sequences Kim, Jae-Yoon Jeong, Seongmun Kim, Kyoung Hyoun Lim, Won-Jun Lee, Ho-Yeon Jeong, Namhee Moon, Jung-Kyung Kim, Namshin Gigascience Research BACKGROUND: Domestication and improvement processes, accompanied by selections and adaptations, have generated genome-wide divergence and stratification in soybean populations. Simultaneously, soybean populations, which comprise diverse subpopulations, have developed their own adaptive characteristics enhancing fitness, resistance, agronomic traits, and morphological features. The genetic traits underlying these characteristics play a fundamental role in improving other soybean populations. RESULTS: This study focused on identifying the selection signatures and adaptive characteristics in soybean populations. A core set of 245 accessions (112 wild-type, 79 landrace, and 54 improvement soybeans) selected from 4,234 soybean accessions was re-sequenced. Their genomic architectures were examined according to the domestication and improvement, and accessions were then classified into 3 wild-type, 2 landrace, and 2 improvement subgroups based on various population analyses. Selection and gene set enrichment analyses revealed that the landrace subgroups have selection signals for soybean-cyst nematode HG type 0 and seed development with germination, and that the improvement subgroups have selection signals for plant development with viability and seed development with embryo development, respectively. The adaptive characteristic for soybean-cyst nematode was partially underpinned by multiple resistance accessions, and the characteristics related to seed development were supported by our phenotypic findings for seed weights. Furthermore, their adaptive characteristics were also confirmed as genome-based evidence, and unique genomic regions that exhibit distinct selection and selective sweep patterns were revealed for 13 candidate genes. CONCLUSIONS: Although our findings require further biological validation, they provide valuable information about soybean breeding strategies and present new options for breeders seeking donor lines to improve soybean populations. Oxford University Press 2019-12-23 /pmc/articles/PMC6927394/ /pubmed/31869408 http://dx.doi.org/10.1093/gigascience/giz151 Text en © The Author(s) 2019. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Kim, Jae-Yoon
Jeong, Seongmun
Kim, Kyoung Hyoun
Lim, Won-Jun
Lee, Ho-Yeon
Jeong, Namhee
Moon, Jung-Kyung
Kim, Namshin
Dissection of soybean populations according to selection signatures based on whole-genome sequences
title Dissection of soybean populations according to selection signatures based on whole-genome sequences
title_full Dissection of soybean populations according to selection signatures based on whole-genome sequences
title_fullStr Dissection of soybean populations according to selection signatures based on whole-genome sequences
title_full_unstemmed Dissection of soybean populations according to selection signatures based on whole-genome sequences
title_short Dissection of soybean populations according to selection signatures based on whole-genome sequences
title_sort dissection of soybean populations according to selection signatures based on whole-genome sequences
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927394/
https://www.ncbi.nlm.nih.gov/pubmed/31869408
http://dx.doi.org/10.1093/gigascience/giz151
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